An electronic device configured to control a host vehicle includes: an image sensor configured to photograph a surrounding environment of the host vehicle; and a processor configured to perform an image processing operation based on a first image captured by the image sensor, and control the host vehicle based on the processing result, wherein the processor determines whether to use a high speed performance of the image processing operation based on a speed of the host vehicle, and the electronic device is configured such that when the high speed performance is not used, the processor performs the image processing operation by using a first image processing module, and when the high speed performance is used, the processor performs the image processing operation by using a second image processing module having less data throughput than the first image processing module.

A video display apparatus includes: a tone mapping processor that performs a tone mapping process of converting a luminance of a video by using conversion characteristics according to a maximum luminance of the video; and a display that displays the video that has undergone the tone mapping process. The tone mapping processor switches between a first tone mapping process of dynamically changing the conversion characteristics according to a time-dependent change in the maximum luminance of the video and a second tone mapping process that is performed using constant conversion characteristics irrespective of the time-dependent change in the maximum luminance of the video.

Provided are an image processing apparatus and method. The image processing apparatus includes a decoder configured to decode image frames of an image; an image quality controller configured to obtain a genre recognition confidence of a previous image frame and a genre recognition confidence of a current image frame, and identify image quality control factor value, based on the genre recognition confidence of the previous image frame and the genre recognition confidence of the current image frame; and an image quality processor configured to image-quality process at least one of the decoded image frames by using the image quality control factor value, and output the processed at least one of the decoded image frames.

Disclosed are an image data processing method and a sensor device performing the same. The sensor device includes an image sensor configured to acquire image data, an image buffer configured to store the image data, and an image processor configured to generate image-processed data by applying a filter corresponding to a storage pattern of the image buffer to the image data stored in the image buffer.

To enable to easily check a predetermined signal level region of an HDR video signal on an SDR screen displayed on an SDR-compliant display device. Processing at least including gradation compression processing for SDR is performed on the HDR video signal to obtain a standard dynamic range video signal. A predetermined signal level region is detected from the HDR video signal. An SDR video signal for display is obtained by combining a display signal for displaying the predetermined signal level region with an SDR video signal on the basis of a signal indicating the predetermined signal level region.

An image processing method, comprising: obtaining an image to be processed; detecting one or more face regions in the image to be processed, and detecting an overexposed region in each of the one or more face regions; for each of the one or more face regions: obtaining a light effect intensity coefficient based on the overexposed region, and obtaining a target light effect model based on the light effect intensity coefficient, the target light effect model being a model that simulates a change in light; and performing light enhancement processing on the image to be processed based on the target light effect model.

A computing system includes a memory configured to store instructions, and one or more processors configured to execute the instructions to receive data relating to an image or a user, determine a feature from the data, identify a user preference from a user profile, obtain a model, and segment the image based on the feature, the user preference, and the model. The model is generated by determining a historical feature from historical data as an input, determining a desired output, obtaining a preliminary model based on the input and the desired output, determining an actual output of the preliminary model, determining error criteria between the actual output and the desired output, and generating the model by updating the preliminary model based on the error criteria.

To enable practical and quick generation of a family of good looking HDR gradings for various displays on which the HDR image may need to be shown, we describe color transformation apparatus (201) to calculate resultant colors (R2, G2, B2) of pixels of an output image (IM_MDR) for a display with a display peak brightness (PB_D) starting from input colors (R,G,B) of pixels of an input image (Im_in) having a maximum luma code corresponding to a first image peak brightness (PB_IM1) which is different from the display peak brightness, characterized in that the color transformation apparatus comprises: a color transformation determination unit (102) arranged to determine a color transformation (TMF; g) from color processing specification data (MET_1) comprising at least one tone mapping function (CC) for at least a range of pixel luminances received via a metadata input (116), which color transformation specifies the calculation of at least some pixel colors of an image (IM_GRAD_LXDR) having corresponding to its maximum luma code a second image peak brightness (PB_IM2), which is different from the display peak brightness (PB_D) and the first image peak brightness (PB_IM1), and whereby the division of the first image peak brightness by the second image peak brightness is either larger than 2 or smaller than ½; a scaling factor determination unit (200) arranged to determine a resultant common multiplicative factor (gt), by comprising: a capability metric determination unit (1303) arranged to determine a metric for locating positions of display peak brightnesses between the first image peak brightness (PB_IM1), and the second image peak brightness (PB_IM2) and outside that range; and a resultant multiplier determination unit (1310) arranged to determine from the display peak brightness (PB_D), the metric, and the color transformation the resultant common multiplicative factor (gt), and wherein the color transformation apparatus (201) further comprises a scaling multiplier (114) arranged to multiply a linear RGB color representation of the input colors with the resultant common multiplicative factor (gt).

A system and method that provide the automatic extraction and processing of data from medical images from an image data archive. The processing including generating a metadata for an image, selecting an algorithm for image data analysis based on the metadata generated for the image, properties for at least two possible algorithms, and a specification of a specific image analysis to be performed, analyzing the image data with the algorithm selected from the at least two possible algorithms to produce results information, and linking the results information of image analysis and the metadata with referenceable anatomical structures of a human being or an animal within the image; and displaying the results linked to the anatomical structure.

A medical control apparatus to which a rigid endoscope having an insertion portion to be inserted into a subject is detachably connected is configured to perform image processing on a captured image obtained by capturing a subject image introduced by the rigid endoscope and generate a medical photographic image to be displayed on a display device that displays images. The medical control apparatus includes: a detection unit configured to detect a mask width that is a distance between boundary points dividing the subject image included in the captured image and a mask area that is an area other than the subject image; and a control unit configured to calculate a first parameter used for the image processing in accordance with the mask width.